Artículos de revistas sobre el tema "16S amplicon analysis"
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Devloo-Delva, Floriaan, Roger Huerlimann, Gladys Chua, Jordan K. Matley, Michelle R. Heupel, Colin A. Simpfendorfer y Gregory E. Maes. "How does marker choice affect your diet analysis: comparing genetic markers and digestion levels for diet metabarcoding of tropical-reef piscivores". Marine and Freshwater Research 70, n.º 1 (2019): 8. http://dx.doi.org/10.1071/mf17209.
Texto completoAnsorge, Rebecca, Giovanni Birolo, Stephen A. James y Andrea Telatin. "Dadaist2: A Toolkit to Automate and Simplify Statistical Analysis and Plotting of Metabarcoding Experiments". International Journal of Molecular Sciences 22, n.º 10 (18 de mayo de 2021): 5309. http://dx.doi.org/10.3390/ijms22105309.
Texto completoZhang, Ke, Rongnan Lin, Yujun Chang, Qing Zhou y Zhi Zhang. "16S-FASAS: an integrated pipeline for synthetic full-length 16S rRNA gene sequencing data analysis". PeerJ 10 (23 de septiembre de 2022): e14043. http://dx.doi.org/10.7717/peerj.14043.
Texto completoLeonard, Caroline, Damien Thiry, Bernard Taminiau, Georges Daube y Jacques Fontaine. "External Ear Canal Evaluation in Dogs with Chronic Suppurative Otitis Externa: Comparison of Direct Cytology, Bacterial Culture and 16S Amplicon Profiling". Veterinary Sciences 9, n.º 7 (18 de julio de 2022): 366. http://dx.doi.org/10.3390/vetsci9070366.
Texto completoYu, Jeong suk, Minhee Kim, Il-Hoon Cho, Yu-Min Sim y Young Sun Hwang. "Evidence Supporting Oral Hygiene Management by Owners through a Genetic Analysis of Dental Plaque Bacteria in Dogs". Veterinary Sciences 11, n.º 2 (19 de febrero de 2024): 96. http://dx.doi.org/10.3390/vetsci11020096.
Texto completoTheil, Sebastien y Etienne Rifa. "rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis". F1000Research 10 (7 de enero de 2021): 7. http://dx.doi.org/10.12688/f1000research.27268.1.
Texto completoHjelmsø, Mathis Hjort, Lars Hestbjerg Hansen, Jacob Bælum, Louise Feld, William E. Holben y Carsten Suhr Jacobsen. "High-Resolution Melt Analysis for Rapid Comparison of Bacterial Community Compositions". Applied and Environmental Microbiology 80, n.º 12 (7 de marzo de 2014): 3568–75. http://dx.doi.org/10.1128/aem.03923-13.
Texto completoÁlvarez Narváez, Sonsiray, Megan S. Beaudry, Connor G. Norris, Paula B. Bartlett, Travis C. Glenn y Susan Sanchez. "Improved Equine Fecal Microbiome Characterization Using Target Enrichment by Hybridization Capture". Animals 14, n.º 3 (29 de enero de 2024): 445. http://dx.doi.org/10.3390/ani14030445.
Texto completoTang, Jianming, John K. Moulton, Kenneth Pruess, Eddie W. Cupp y Thomas R. Unnasch. "Genetic variation in North American black flies in the subgenus Psilopelmia (Simulium: Diptera: Simuliidae)". Canadian Journal of Zoology 76, n.º 2 (1 de febrero de 1998): 205–11. http://dx.doi.org/10.1139/z97-190.
Texto completoNelson, Michael C., Hilary G. Morrison, Jacquelynn Benjamino, Sharon L. Grim y Joerg Graf. "Analysis, Optimization and Verification of Illumina-Generated 16S rRNA Gene Amplicon Surveys". PLoS ONE 9, n.º 4 (10 de abril de 2014): e94249. http://dx.doi.org/10.1371/journal.pone.0094249.
Texto completoPlaný, Matej, Tomáš Kuchta, Katarína Šoltýs, Tomáš Szemes, Domenico Pangallo y Peter Siekel. "Metagenomic Analysis of Slovak Bryndza Cheese Using Next-Generation 16S rDNA Amplicon Sequencing". Nova Biotechnologica et Chimica 15, n.º 1 (1 de junio de 2016): 23–34. http://dx.doi.org/10.1515/nbec-2016-0003.
Texto completoda Silva, Cleiziane Bispo, Hellen Ribeiro Martins dos Santos, Phellippe Arthur Santos Marbach, Jorge Teodoro de Souza, Valter Cruz-Magalhães, Ronaldo Costa Argôlo-Filho y Leandro Lopes Loguercio. "First-tier detection of intragenomic 16S rRNA gene variation in culturable endophytic bacteria from cacao seeds". PeerJ 7 (20 de noviembre de 2019): e7452. http://dx.doi.org/10.7717/peerj.7452.
Texto completoSierra, Maria A., Qianhao Li, Smruti Pushalkar, Bidisha Paul, Tito A. Sandoval, Angela R. Kamer, Patricia Corby et al. "The Influences of Bioinformatics Tools and Reference Databases in Analyzing the Human Oral Microbial Community". Genes 11, n.º 8 (3 de agosto de 2020): 878. http://dx.doi.org/10.3390/genes11080878.
Texto completoYen, Sandi, Jethro Johnson y Nicholas E. Ilott. "Streamlined processing and analysis of 16S rRNA amplicon sequencing data with OCMS_16S and OCMSlooksy". Wellcome Open Research 7 (23 de febrero de 2022): 68. http://dx.doi.org/10.12688/wellcomeopenres.17632.1.
Texto completoRanjan, Ravi, Asha Rani, Ahmed Metwally, Halvor S. McGee y David L. Perkins. "Analysis of the microbiome: Advantages of whole genome shotgun versus 16S amplicon sequencing". Biochemical and Biophysical Research Communications 469, n.º 4 (enero de 2016): 967–77. http://dx.doi.org/10.1016/j.bbrc.2015.12.083.
Texto completoMurovec, Boštjan, Leon Deutsch y Blaž Stres. "General Unified Microbiome Profiling Pipeline (GUMPP) for Large Scale, Streamlined and Reproducible Analysis of Bacterial 16S rRNA Data to Predicted Microbial Metagenomes, Enzymatic Reactions and Metabolic Pathways". Metabolites 11, n.º 6 (24 de mayo de 2021): 336. http://dx.doi.org/10.3390/metabo11060336.
Texto completoFujimoto, Naoshi, Keigo Mizuno, Tomoki Yokoyama, Akihiro Ohnishi, Masaharu Suzuki, Satoru Watanabe, Kenji Komatsu et al. "Community analysis of picocyanobacteria in an oligotrophic lake by cloning 16S rRNA gene and 16S rRNA gene amplicon sequencing". Journal of General and Applied Microbiology 61, n.º 5 (2015): 171–76. http://dx.doi.org/10.2323/jgam.61.171.
Texto completoNakajima, Aruto, Keisuke Yoshida, Aina Gotoh, Toshihiko Katoh, Miriam N. Ojima, Mikiyasu Sakanaka, Jin-Zhong Xiao, Toshitaka Odamaki y Takane Katayama. "A simple method that enhances minority species detection in the microbiota: 16S metagenome-DRIP (Deeper Resolution using an Inhibitory Primer)". Microbiome Research Reports 1, n.º 3 (2022): 20. http://dx.doi.org/10.20517/mrr.2022.08.
Texto completoGuo, Mengmeng, Xi Cao, Ke Zhang, Menghao Pan, Yujiang Wu, Suo Langda, Yuxin Yang, Yulin Chen, Ba Gui y Baohua Ma. "16S rRNA Gene Sequencing Revealed Changes in Gut Microbiota Composition during Pregnancy and Lactation in Mice Model". Veterinary Sciences 9, n.º 4 (1 de abril de 2022): 169. http://dx.doi.org/10.3390/vetsci9040169.
Texto completoTorrell, Helena, Adrià Cereto-Massagué, Polina Kazakova, Lorena García, Héctor Palacios y Núria Canela. "Multiomic Approach to Analyze Infant Gut Microbiota: Experimental and Analytical Method Optimization". Biomolecules 11, n.º 7 (7 de julio de 2021): 999. http://dx.doi.org/10.3390/biom11070999.
Texto completoYaman, Belma Nural. "Metagenomics (16S Amplicon Sequencing) and DGGE Analysis of Bacterial Diversity of Acid Mine Drainage". Journal of Microbiology, Biotechnology and Food Sciences 9, n.º 5 (abril de 2020): 932–36. http://dx.doi.org/10.15414/jmbfs.2020.9.5.932-936.
Texto completoGonzalez, Emmanuel, Frederic E. Pitre y Nicholas J. B. Brereton. "ANCHOR: a 16S rRNA gene amplicon pipeline for microbial analysis of multiple environmental samples". Environmental Microbiology 21, n.º 7 (21 de mayo de 2019): 2440–68. http://dx.doi.org/10.1111/1462-2920.14632.
Texto completoSibanda, Timothy, Ramganesh Selvarajan y Memory Tekere. "Targeted 16S rRNA amplicon analysis reveals the diversity of bacterial communities in carwash effluents". International Microbiology 22, n.º 2 (26 de octubre de 2018): 181–89. http://dx.doi.org/10.1007/s10123-018-00038-0.
Texto completoRamiro-Garcia, Javier, Gerben D. A. Hermes, Christos Giatsis, Detmer Sipkema, Erwin G. Zoetendal, Peter J. Schaap y Hauke Smidt. "NG-Tax, a highly accurate and validated pipeline for analysis of 16S rRNA amplicons from complex biomes". F1000Research 5 (23 de noviembre de 2018): 1791. http://dx.doi.org/10.12688/f1000research.9227.2.
Texto completoChun, Jongsik, Anwarul Huq y Rita R. Colwell. "Analysis of 16S-23S rRNA Intergenic Spacer Regions of Vibrio cholerae and Vibrio mimicus". Applied and Environmental Microbiology 65, n.º 5 (1 de mayo de 1999): 2202–8. http://dx.doi.org/10.1128/aem.65.5.2202-2208.1999.
Texto completoBarak, Noga, Eduard Fadeev, Vera Brekhman, Dikla Aharonovich, Tamar Lotan y Daniel Sher. "Selecting 16S rRNA Primers for Microbiome Analysis in a Host–Microbe System: The Case of the Jellyfish Rhopilema nomadica". Microorganisms 11, n.º 4 (6 de abril de 2023): 955. http://dx.doi.org/10.3390/microorganisms11040955.
Texto completoBergsten, Pauline, Pauline Vannier, Julie Frion, Alan Mougeolle y Viggó Þór Marteinsson. "Culturable Bacterial Diversity from the Basaltic Subsurface of the Young Volcanic Island of Surtsey, Iceland". Microorganisms 10, n.º 6 (8 de junio de 2022): 1177. http://dx.doi.org/10.3390/microorganisms10061177.
Texto completoMcAdams, Zachary, Kevin Gustafson y Aaron Ericsson. "The Effect of Common Viral Inactivation Techniques on 16S rRNA Amplicon-Based Analysis of the Gut Microbiota". Microorganisms 9, n.º 8 (17 de agosto de 2021): 1755. http://dx.doi.org/10.3390/microorganisms9081755.
Texto completoForero-Becerra, Elkin, Jignesh Patel, Heidy-C. Martínez-Díaz, Paola Betancourt-Ruiz, Efraín Benavides, Steven Durán, Luz-A. Olaya-Másmela, Eliana Bolaños, Marylin Hidalgo y Jere W. McBride. "Seroprevalence and Genotypic Analysis of Ehrlichia canis Infection in Dogs and Humans in Cauca, Colombia". American Journal of Tropical Medicine and Hygiene 104, n.º 5 (5 de mayo de 2021): 1771–76. http://dx.doi.org/10.4269/ajtmh.20-0965.
Texto completoRamiro-Garcia, Javier, Gerben D. A. Hermes, Christos Giatsis, Detmer Sipkema, Erwin G. Zoetendal, Peter J. Schaap y Hauke Smidt. "NG-Tax, a highly accurate and validated pipeline for analysis of 16S rRNA amplicons from complex biomes". F1000Research 5 (22 de julio de 2016): 1791. http://dx.doi.org/10.12688/f1000research.9227.1.
Texto completoNAKAYAMA, Jiro, Jiahui JIANG, Koichi WATANABE, Kangting CHEN, Huang NINXIN, Kazunori MATSUDA, Takashi KURAKAWA, Hirokazu TSUJI, Kenji SONOMOTO y Yuan-Kun LEE. "Up to Species-level Community Analysis of Human Gut Microbiota by 16S rRNA Amplicon Pyrosequencing". Bioscience of Microbiota, Food and Health 32, n.º 2 (2013): 69–76. http://dx.doi.org/10.12938/bmfh.32.69.
Texto completoRoberto, Frank F. "16S-rRNA gene-targeted amplicon sequence analysis of an enargite-dominant bioleach demonstration in Peru". Hydrometallurgy 180 (septiembre de 2018): 271–76. http://dx.doi.org/10.1016/j.hydromet.2018.08.005.
Texto completoBarret, Maialen, Nathalie Gagnon, Martin L. Kalmokoff, Edward Topp, Yris Verastegui, Stephen P. J. Brooks, Fernando Matias, Josh D. Neufeld y Guylaine Talbot. "Identification of Methanoculleus spp. as Active Methanogens during Anoxic Incubations of Swine Manure Storage Tank Samples". Applied and Environmental Microbiology 79, n.º 2 (26 de octubre de 2012): 424–33. http://dx.doi.org/10.1128/aem.02268-12.
Texto completoMurphy, Robert y Mikael Lenz Strube. "RibDif2: Expanding amplicon analysis to full genomes". Bioinformatics Advances, 21 de agosto de 2023. http://dx.doi.org/10.1093/bioadv/vbad111.
Texto completoIzak, D., A. Gromadka y S. Kaczanowski. "Mothulity Facilitates 16S/ITS Amplicon Diversity Analysis". Current Protocols in Bioinformatics 69, n.º 1 (24 de febrero de 2020). http://dx.doi.org/10.1002/cpbi.94.
Texto completoZorz, Jackie, Carmen Li, Anirban Chakraborty, Daniel A. Gittins, Taylor Surcon, Natasha Morrison, Robbie Bennett, Adam MacDonald y Casey R. J. Hubert. "SituSeq: an offline protocol for rapid and remote Nanopore 16S rRNA amplicon sequence analysis". ISME Communications 3, n.º 1 (20 de abril de 2023). http://dx.doi.org/10.1038/s43705-023-00239-3.
Texto completoStrube, Mikael Lenz. "RibDif: Can individual species be differentiated by 16S sequencing?" Bioinformatics Advances, 6 de septiembre de 2021. http://dx.doi.org/10.1093/bioadv/vbab020.
Texto completoZhang, Tianyuan, Hanzhou Li, Silin Ma, Jian Cao, Hao Liao, Qiaoyun Huang y Wenli Chen. "The newest Oxford Nanopore R10.4.1 full-length 16S rRNA sequencing enables the accurate resolution of species-level microbial community profiling". Applied and Environmental Microbiology, 6 de octubre de 2023. http://dx.doi.org/10.1128/aem.00605-23.
Texto completoTremblay, Julien y Etienne Yergeau. "Systematic processing of ribosomal RNA gene amplicon sequencing data". GigaScience 8, n.º 12 (1 de diciembre de 2019). http://dx.doi.org/10.1093/gigascience/giz146.
Texto completoKinoshita, Yuta, Hidekazu Niwa, Eri Uchida-Fujii y Toshio Nukada. "Establishment and assessment of an amplicon sequencing method targeting the 16S-ITS-23S rRNA operon for analysis of the equine gut microbiome". Scientific Reports 11, n.º 1 (4 de junio de 2021). http://dx.doi.org/10.1038/s41598-021-91425-7.
Texto completoXue, Zhengyao, Mary E. Kable y Maria L. Marco. "Impact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy Products". mSphere 3, n.º 5 (17 de octubre de 2018). http://dx.doi.org/10.1128/msphere.00410-18.
Texto completoMiura, Hiroto, Masayuki Takeda, Megumi Yamaguchi, Yoshihisa Ohtani, Go Endo, Yasuhisa Masuda, Kaede Ito et al. "Application of MinION Amplicon Sequencing to Buccal Swab Samples for Improving Resolution and Throughput of Rumen Microbiota Analysis". Frontiers in Microbiology 13 (24 de marzo de 2022). http://dx.doi.org/10.3389/fmicb.2022.783058.
Texto completoZheng, Jun-Jie, Po-Wen Wang, Tzu-Wen Huang, Yao-Jong Yang, Hua-Sheng Chiu, Pavel Sumazin y Ting-Wen Chen. "MOCHI, a comprehensive cross-platform tool for amplicon-based microbiota analysis". Bioinformatics, 25 de julio de 2022. http://dx.doi.org/10.1093/bioinformatics/btac494.
Texto completoUmbach, Alexander K., Champika Fernando, Janet E. Hill y Josh D. Neufeld. "Evaluating cpn60 for high-resolution profiling of the mammalian skin microbiome and detection of phylosymbiosis". ISME Communications 3, n.º 1 (7 de julio de 2023). http://dx.doi.org/10.1038/s43705-023-00276-y.
Texto completoOdom, Aubrey R., Tyler Faits, Eduardo Castro-Nallar, Keith A. Crandall y W. Evan Johnson. "Metagenomic profiling pipelines improve taxonomic classification for 16S amplicon sequencing data". Scientific Reports 13, n.º 1 (26 de agosto de 2023). http://dx.doi.org/10.1038/s41598-023-40799-x.
Texto completoMatsuo, Yoshiyuki, Shinnosuke Komiya, Yoshiaki Yasumizu, Yuki Yasuoka, Katsura Mizushima, Tomohisa Takagi, Kirill Kryukov et al. "Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolution". BMC Microbiology 21, n.º 1 (26 de enero de 2021). http://dx.doi.org/10.1186/s12866-021-02094-5.
Texto completoBeaudry, Megan S., Jincheng Wang, Troy J. Kieran, Jesse Thomas, Natalia J. Bayona-Vásquez, Bei Gao, Alison Devault et al. "Improved Microbial Community Characterization of 16S rRNA via Metagenome Hybridization Capture Enrichment". Frontiers in Microbiology 12 (27 de abril de 2021). http://dx.doi.org/10.3389/fmicb.2021.644662.
Texto completoOlivier, Sandra A., Michelle K. Bull, Mikael Lenz Strube, Robert Murphy, Tom Ross, John P. Bowman y Belinda Chapman. "Long-read MinION™ sequencing of 16S and 16S-ITS-23S rRNA genes provides species-level resolution of Lactobacillaceae in mixed communities". Frontiers in Microbiology 14 (7 de diciembre de 2023). http://dx.doi.org/10.3389/fmicb.2023.1290756.
Texto completoMolano, Leidy-Alejandra G., Sara Vega-Abellaneda y Chaysavanh Manichanh. "GSR-DB: a manually curated and optimized taxonomical database for 16S rRNA amplicon analysis". mSystems, 8 de enero de 2024. http://dx.doi.org/10.1128/msystems.00950-23.
Texto completoZiesemer, Kirsten A., Allison E. Mann, Krithivasan Sankaranarayanan, Hannes Schroeder, Andrew T. Ozga, Bernd W. Brandt, Egija Zaura et al. "Intrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplification". Scientific Reports 5, n.º 1 (13 de noviembre de 2015). http://dx.doi.org/10.1038/srep16498.
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